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Ex:N0 :1

Introduction to Cloud Computing

Date :

Aim:To studyin detailabout cloud computing.

Introduction to Cloud Computing

Thetermcloudhasbeenusedhistorically asametaphorfortheInternet.This

usagewasoriginallyderivedfromitscommondepictioninnetworkdiagramsasanoutlineof

acloud,usedtorepresentthetransportofdata acrosscarrierbackbones(whichownedthe

cloud)toanendpointlocationontheothersideofthecloud.Thisconceptdatesbackasearly

as1961,whenProfessorJohnMcCarthy suggestedthatcomputertime-sharingtechnology

mightleadtoafuture wherecomputingpower andevenspecific applicationsmightbesold

throughautility-typebusinessmodel.1Thisideabecameverypopularinthelate1960s,but bythemid-

1970stheideafadedaway whenitbecameclearthattheIT-relatedtechnologies of theday

wereunabletosustainsuchafuturisticcomputingmodel.However,sincetheturnof themillennium,

theconcepthasbeenrevitalized.Itwasduring thistimeofrevitalizationthat

thetermcloudcomputingbegantoemergeintechnology circles.Cloudcomputing isamodel for

enabling convenient, on-demand network access to a shared pool of configurable computing

resources(e.g., networks,servers,storage,applications,and services)thatcanbe rapidly

provisionedandreleasedwithminimalmanagementeffortorserviceprovider

interaction.ACloudisatypeofparallelanddistributed systemconsisting ofacollectionof inter-

connectedandvirtualizedcomputersthataredynamically provisionedandpresentedas oneormore

unifiedcomputing resource(s) basedonservice-levelagreementsestablished through negotiation

between the serviceproviderand consumers.

Whenyoustoreyour photosonline insteadof onyour homecomputer, oruse

webmailorasocialnetworking site,youareusing acloudcomputing service.Ifyouareinan

organization, and you want to use, for example, an online invoicing service instead of updating

thein-houseoneyouhavebeenusingformanyyears,thatonlineinvoicing serviceis

a―cloudcomputingservice.Cloudcomputingisthedeliveryofcomputingservicesoverthe

Internet.Cloudservices,Allowindividualsandbusinessestousesoftware andhardware that

aremanagedbythirdpartiesatremotelocations.Examplesofcloudservicesincludeonline

filestorage,socialnetworking sites, webmail,andonlinebusinessapplications.Thecloud

computingmodelallowsaccesstoinformationandcomputerresourcesfromanywhere.Cloud

computing provides a shared pool of resources, including data storage space, networks, Computer

processingpower, and specialized corporate and user applications.

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Architecture

Cloud ServiceModels

o Cloud Deployment Models

Essential Characteristics of Cloud Computing

NISTVisual Model ofCloudComputing Definition

Cloud Service Models

•

CloudSoftwareas a Service(SaaS)

• CloudPlatform asaService (PaaS)

• CloudInfrastructureas a Service(IaaS)

Infrastructureas a Service (IaaS):--

• The capability provided to the consumer is to provision processing, storage, networks, and

other fundamental computing resources.

• Consumer is able to deploy and run arbitrary software, which can include operating systems

and applications.

• The consumer does not manage or control the underlying cloud infrastructure but has control

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over operating systems; storage, deployed applications, and possibly limited control of

select networking components (e.g., host firewalls).

Platformas a Service(PaaS):--

• The capability provided to the consumer is to deploy onto the cloud infrastructure

consumer created or acquired applications created using programming languages and tools

supported by the provider.

• The consumer does not manage or control the underlying cloud infrastructure including

network, servers, operating systems, or storage, but has control over the deployed

applications and Possibly application hosting environment configurations.

Softwareas a Service (SaaS):--

• The capability provided to the consumer is to use the provider‘s applications running on a

cloud infrastructure.

• The applications are accessible from various client devices through a thin client interface such

as a web browser (e.g., web-based email).

•

The consumer does not manage or control the underlying cloud infrastructure including

network, servers, operating systems, storage, or even individual application capability, with

the possible exception of limited user specific application configuration settings.

• Public

• Private

• CommunityCloud

• Hybrid Cloud

• Public Cloud:The cloud infrastructure is made available to the general public or a large

industry group and is owned by an organization selling cloud services.

• Private Cloud: The cloud infrastructure is operated solely for a single organization. It

may be managed by the organization or a third party, and may exist on-premises or off-

premises.

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• Community Cloud:The cloud infrastructure is shared by several organizations and

supports a specific community that has shared concerns (e.g., mission, security

requirements, policy, or compliance considerations). It may be managed by the

organizations or a third party and may exist on-premises or off-premises.

• Hybrid Cloud: The cloud infrastructure is a composition of two or more clouds (private,

community, or public) that remain unique entities but are bound together by standardized

or Proprietary technology that enables data and application portability (e.g., cloud bursting

for load-balancing between clouds).

ESSENTIAL CHARACTERISTICS:--

o On-demand self-service:--A consumer can unilaterally provision computing capabilities

such as server time and network storage as needed automatically, without requiring human

interaction with a service provider.

o Broad network access:--Capabilities are available over the network and accessed

through standard mechanisms that promote use by heterogeneous thin or thick client

platforms (e.g., mobile phones, laptops, and PDAs) as well as other traditional or cloud

based software services.

o Resource pooling:--The provider‘s computing resources are pooled to serve multiple

consumers using a multi-tenant model, with different physical and virtual resources

Dynamically assigned and reassigned according to consumer demand.

o Rapid elasticity:--Capabilities can be rapidly and elastically provisioned in some cases

automatically - to quickly scale out; and rapidly released to quickly scale in. To the

consumer, the capabilities available for provisioning often appear to be unlimited and can

be purchased in any quantity at any time.

o Measured service:--Cloud systems automatically control and optimize resource usage by

leveraging a metering capability at some level of abstraction appropriate to the type of

service. Resource usage can be monitored, controlled, and reported - providing

transparency for both the provider and consumer of the service.

Result:

Thus the study of cloud computing basics completed successfully.

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Ex:N0 :2

CASE Study: Amazon Web Services

Date :

AIM:

UnderstanddefinitionsofvariousAmazonWebServices(AWS)andtheiruseincloudcomputingbased

webapplications that areaccessibleovertheInternetthroughanAWSaccount.

Introduction to AWS:

Amazon.com is the world’s largest online retailer. In 2011, Amazon.com switched from tape backup

to using Amazon Simple Storage Service (Amazon S3) for backing up the majority of its Oracle

databases. This strategy reduces complexity and capital expenditures, provides faster backup and

restore performance, eliminates tape capacity planning for backup and archive, and frees up

administrative staff for higher value operations. The company was able to replace their backup tape

infrastructure with cloud-based Amazon S3 storage, eliminate backup software, and experienced a

12X performance improvement, reducing restore time from around 15 hours to 2.5 hours in select

scenarios.

Lab Steps and output collection guidelines

Figure1: LabStepsOverview

TheFigure1showstherequiredstepstobe followedinorderto successfullycreateanaccount

creditedwithfundsforthiscourse.It will help us tounderstandpricingconditionsandservices

documentationrelatedwith‘AWSfreeusagetier’,understandAWSArchitecture,createyour

‘AWSaccount’andrequestfor$100credit.Then,we

canlaunchourfirstAWSEC2(ElasticComputeCloud)instance.Thefinalstepwillshowyouthewaystoc

onnect toyourinstancethroughlocalLinux/Macor Windowscomputer.

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AmazonWebServices

For more details, we can

gothroughthehttp://aws.amazon.com/documentation/tofinddetailedinformationofeachservicethat

AWSprovides.Payspecialattentiontotheservicegroups:GettingstartedwithAWS,Compute,Storage

&ContentDeliveryandDatabase.

AWSArchitectureCenter

The overall information about AWS Architecture Centre will available at

http://aws.amazon.com/architecture/tohelp us to build

ourapplicationarchitecturecustomizedaccordingto

therequirements,andformaximizingtheAWSservicesusage.Webapplicationhostingrelatedcusto

mizationexampleisshownbelowinFigure1.

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Figure1: Exampleapplicationcustomizationof AWSarchitecture

Step 1: AWSAccountCreation

Createan(AWS)AmazonWebServiceaccountinhttp://aws.amazon.combyclickingthebutton‘Creat

eaFreeAccount’andfollow theinstructions.Acredit/debitcardandacellphone/Landlinenumberis

required.

•

Followtheinstructiontocreate the account.At somepoint youwillalsoneedto

enteryourcredit/debitcardinformation.

•

Don’t forgettoselect‘Basic (Free)’SupportplantoaccesstoAWS freeservices (if

thatinformation isrequired).

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•

Onceyoucreateyouraccountyouwill seeallAWS services available foryou.

Step 2: AddAWSEducationCredit for $100toour Account.

•

Inhttps://aws.amazon.com/education/awseducate/apply/

ApplyforAWScreditusingthe‘Applyfor AWSEducate for students’ link.

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•

OnceyoureceivedanemailfromAWSwiththePromoCode,activateditbyenteriton‘Credits’tagas

shownbelow.

•

YouwillbeabletoseeyourdetailedusageandCreditsBalancebyaccessing‘Bills’

optionintheleftmenu.

•

Anotheruseful

optionistoenable‘ReceivePDFInvoicemyEmail’aswell‘ReceiveBillingAlerts’to keeptrackof

theusage.

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Step 3 :Launchingyour first AWSInstance

Figure3: Overviewof anAWSInstance

Figure3showstheinstancearchitectureto be configuredin

thisLab.UsingyourAWSaccount,youwilllaunchavirtualinstancecreatedinanew‘Volume’fromanA

mazonEBS-

backedinstancesnapshot(called‘Root’),inordertoaccessyourreservedinfrastructureresourcesovert

heInternet;youwillneed tocreatekeypairsandsecureitthrough

asecuritygroup;alltheinfrastructurewillbecreatedinaspecificzone.

1 Click‘ConsoleHome’,makesuretoselecttheUSEast (N.Virginia) regioninthetop-right

part of your screenand selectAWSEC2service (ElasticComputeCloud).

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2 In leftmenuselect“KeyPairs”.

•

CreateaKeyPaircalled‘key-ec2’andstoreitinasafelocation,youwillneedthis

keytoconnecttotheinstances.

IfyouareaLinux/MACuser,remembertosetthepriorityforthekeypair:chmod700<path-to-the-

keypairs>.

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3 Select“SecurityGroups” fromtheleft menu, nameaSecurityGroup‘SG_EC2’,

adddescription

andaSSHrulewith‘anywhere’optionselectedinsource field.

•

Exampleof SecurityGroupcreation.

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4 LaunchyourInstance

•

In leftmenu,

launchanewinstanceinthe‘Instances’optionClickonthe‘LaunchInstance’buttonandselectthe first

Imageof ‘AmazonLinux’ on the list

•

Selectthet2.micro instance that is ‘Free’.

•

Keepdefaultvaluesinthenextconfigurationwindowsandcontinueuntilyougettothe‘Ta

gInstance’option.Add‘Key’and‘Value’asshowninfigurebelowandclickon‘Next:Config

ure SecurityGroup’.

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•

Selectthe‘SecurityGroup’createdpreviouslyandclickon‘ReviewandLaunch’.

•

Onceyouclick‘launch’youwillbepromptedtochoosethekeypair‘key-ec2’createdpreviously.

•

Inashort timeyournewinstancewillbedeployedandreadytobeused.

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Step 4: Addingvolume

In leftmenu

“ElasticBlockStore”,select‘Volumes’andyouwillseethedefaultvolumewhereyourinstance

isstored.

•

Clickin‘CreateVolume’forcreatinganew2GBvolumeandVolumeType‘GeneralPurpose

(SSD)’.Besurethatthe‘AvailabilityZone’inthenewvolumeisthesameasthe‘Zone’ofthefirstvo

lume(For thisspecificcaseus-east-1c)

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•

Oncethenewvolumeis‘available’,rightclickonitandselect‘Attachvolume’,

selectyourcreatedinstanceandattach it. Note thepathwill beestablished in the ‘Device’option.

•

Youwillendupwithanew2GBSDDstoragedriveattachedtoyourinstance.

•

It is goodpractice tonameyourvolumes.

Step 5: ConnectiontotheinstanceusingSSH

Firstup,copythepublicDNS.

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1For LinuxandMACOS

Openaterminalandtypein:

ssh–i<path-to-your-key-pairs><publicDNS>

Youwillbeloggedintheamazoninstance.

2ForWindows

Download‘PuTTYKeyGenerator’toconvertyourkeytoPuTTYcompatible

format.Clickin‘conversions’

and‘importkey’toselectyour‘key-ec2.pem’.

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Selectthe‘SSH-1 (RSA)’checkboxandclickon‘Saveprivatekey’ for storing.Name it ‘key-ec2-

putty’

NowwithPuTTY.Paste[publicdns] in‘HostName (orIPaddress)’

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Browsethe‘key-ec2-putty’inConnection/SSH/AuththenclickBrowse.

Select‘Yes’inthePuTTYalert.ThenLoginas‘ec2-user’

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Step 5: stoptheinstance after finishingthelab.

InyourAWSEC2serviceselect ‘Instances’under ‘INSTANCES’option,selectyour running

instance, click

on‘Actions’buttonand‘Stop’ option.

Result:

Thus we studied in detail about various Amazon Web Services (AWS) and their use in cloud

computing based web applications that are accessible overthe Internet through an AWS account.

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Ex:N0 :3

CreateOnlineVirtualMachine Using AWS

Date :

AIM

To Create Virtual Machine online using Amazon web service.

PROCEDURE

1. Enter the EC2 Dashboard

2. Create and Configure Your Virtual Machine

3. Click Launch Instance to Amazon EC2 console

4. Click Select to Microsoft Windows Server 2012 R2 Base

5. Click Review and Launch at the bottom of the page

6. Create a Key Pair and Launch Your Instance

7. Connect to Your Instance

8. Select the Windows Server instance you just created and click Connect

9. When prompted log in to the instance, use the User Name and Password you generated in to

connect to your virtual machine.

10. Terminate Your Windows VM

11. Back on the EC2 Console, select the box next to the instance you created. Then click the

Actions button, navigate to Instante State, and click Terminate.

12. Confirm termination - select Yes, Terminate.

OUTPUT:

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Result:

Thusthegivenvirtualmachine usingAmazonWebServiceiscreatedsuccessfully.

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Ex:N0 :4

InstallWindows/LinuxOS UsingVMware

Workstation/Oracle Virtual Box

Date :

AIM

To create a Virtual Machine by installing VMware and add Window or Linux as Guest OS.

PROCEDURE

1. Create a new virtual machine. Open VMware Workstation click "Create a New Virtual

Machine".

2. Select type of configuration. A New Virtual Machine Wizard dialog box will be opened.

3. There are two options: typical and custom. Keep the default and click "Next" button.

4. Choose "Install disc image file". This type matches the iso file you download. Click

"Browse" to locate your Windows 7 iso file. Then, click "Next".

5. Select the version of Windows to install. The version depends on the iso file you download. You

can set your product key and personalize Windows later. Click "Next" button to continue.

6. Wait for the dialog to pop up. If you do not enter the Windows product key, click "Yes"

to continue.

7. Name the virtual machine. Change the name and location if you want. Click "Browse" to modify the

path. Then, click "Next".

8. Specify Disk Capacity. Click the arrow button to change the maximum size of virtual machine's hard

disk. Also choose, store as one or more files on host computer. Click "Next" button to continue.

9. Confirm the setting. This step lists the settings the virtual machine will create. Click

"Customize Hardware" button to change any of the details.

10. Change Memory. If you want to change the memory of the virtual machine, select the arrow button or

drag the slider tab. Click "Close" to go back to the last dialog box.

11. Create the new virtual machine. After confirming that the settings are all accurate, click the "Finish"

button to start the process.

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OUTPUT:

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Result:

Thus the creation of a Virtual Machine by installing VMware and add Window or Linux

as Guest OS executed successfully.

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Ex:N0 :5

Install a C Compiler in the Virtual Machine and Execute a

Sample Program

Date :

AIM:

To install a C Compiler in the virtual machine and execute a Sample C Program.

PROCEDURE:

1. Create a new virtual machine. Open VMware Workstation click "Create a New Virtual

Machine".

2. Select type of configuration. A New Virtual Machine Wizard dialog box will be opened.

3. There are two options: typical and custom. Keep the default and click "Next" button.

4. Choose "Install disc image file". This type matches the iso file you download. Click

"Browse" to locate your Ubuntu iso file. Then, click "Next".

5. Select the version of Ubuntu to install. The version depends on the iso file you

download. You can set your product key and personalize Windows later. Click "Next"

button to continue.

6. Wait for the dialog to pop up. If you do not enter the Windows product key, click "Yes"

to continue.

7. Name the virtual machine. Change the name and location if you want. Click "Browse" to

modify the path. Then, click "Next".

8. Specify Disk Capacity. Click the arrow button to change the maximum size of virtual

machine's hard disk. Also choose, store as one or more files on host computer. Click

"Next" button to continue.

9. Confirm the setting. This step lists the settings the virtual machine will create. Click

"Customize Hardware" button to change any of the details.

10. Change Memory. If you want to change the memory of the virtual machine, select the

arrow button or drag the slider tab. Click "Close" to go back to the last dialog box.

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11. Create the new virtual machine. After confirming that the settings are all accurate, click

the "Finish" button to start the process.

12. In Ubuntu Guest OS check for gcc and install using the command “sudo apt gcc install” at

the terminal.

13. Type a new file using any one of the text editor and type your first C program and save it.

14. Using gcc compile the program in the current directory and show the results by executing

./a.out.

OUTPUT:

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RESULT:

Thus the installation of c compile in the guest os and execution of a C program completed

successfully.

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Ex:N0 : 6

Install and Understand the Features of Own Cloud

Date :

AIM:

To install and understand the features of Own Cloud.

PROCEDURE:

OwnCloud requires at least 128MB RAM but, recommended is 512 MB RAM, which should be

increased according to number of users, files and activity. Also you will need a server with CentOS

7.x installed. We will be using root account to run the commands, if you are logged in as non-root

user, use sudo command at the start of the commands we are going to run. You may also run sudo

su command to switch to root account.

1.Before installing any packages, it is recommended to update the system and packages, using

following command.

yum -y update

Now we will need to install LAMP stack in order to build up the required platform to install

ownCloud. We will need to install Apache 2.4 with mod_php, PHP 5.4+ and MySQL/MariaDB.

2.To install Apache 2.4 run the following command.

yum -y install httpd

3.Now start and enable it to automatically start at boot time using the following commands.

systemctl start httpd

systemctl enable httpd

4. ownCloud run on any PHP 5.4+ version, but PHP 5.4 is getting EOL, we will install PHP 5.5

on our server as recommended by ownCloud. Run the following commands to install PHP 5.5 on

your system. PHP 5.5 is not available on default YUM repository, hence you will need to add SCL

repositories too.

yum -y install centos-release-scl

yum -y install php55 php55-php php55-php-gd php55-php-mbstring php55-php-mysqlnd

5.Now restart Apache web server using the following command.

systemctl restart httpd

6.Now install and setup Sendmail so that ownCloud can send push notifications using Sendmail.

To install Sendmail run the following command.

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yum -y install sendmail

7.Now start Sendmail and enable it to start at boot time using following command.

systemctl start sendmail

systemctl enable sendmail

8. Now you will need to install MySQL/MariaDB, run the following command to do so.

yum install mariadb mariadb-server

9.Now start and enable MariaDB to start automatically start at boot time using the following

commands.

systemctl start mariadb

systemctl enable mariadb

10.Now secure your MariaDB installation using the following command.

mysql_secure_installation

This will run a small script and ask for your current root password, as we have just installed

MariaDB, so there is no root password, just leave it blank and proceed further to create a new root

password for MariaDB server. It will further ask for removing anonymous user, sample database

and it will ask if you want to disable remote login. Just hit enter for all question asked as we want

to use the default choice for each question. This will configure and run our database server.

Once MariaDB server is ready we will need to create a database and database user for ownCloud.

mysql -u root -p

11.Now enter the password for root user which you have created during securing MySQL server.

Once you are logged in, you will see following output.

[root@Testbox ~]# mysql -u root -p

Enter password:

Welcome to the MariaDB monitor. Commands end with ; or g.

Your MariaDB connection id is 10

Corporation Ab and others.Type 'help;' or 'h' for help. Type 'c' to clear the current input statement.

MariaDB [(none)]>

12.Create a database using following command.

MariaDB [(none)]> CREATE DATABASE owncloud;

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13.Now create a database user using following command.

MariaDB [(none)]> GRANT ALL ON owncloud.* to 'ownclouduser'@'localhost'

IDENTIFIED BY 'StrongPassword';

Be sure to change your database name and username and use a strong password replacing

StrongPassword. Now reload the privileges table using following command.

MariaDB [(none)]> FLUSH PRIVILEGES;

MariaDB [(none)]> exit

14.As we have everything ready now, we can start the installation of ownCloud by running the

following commands.

rpm --import https://download.owncloud.org/download/ repositories/stable/ CentOS_7/

repodata/repomd.xml.key

wget http://download.owncloud.org/download/repositories/stable/CentOS_7/ce:stable.repo -O

/etc/yum.repos.d/ce:stable.repo yum clean expire-cache yum -y install owncloud

This will download and install ownCloud in your server, you can find the ownCloud files in

/var/www/owncloud directory.

15. Now you will need to fix some directories permissions so that ownCloud can manage the data

on your server. Create a new file using any editor of your choice. In this tutorial we will be using

nano, if you don't have nano installed, you can easily install it using yum -y install nano.

nano ~/prm.sh

16.Now add the following lines of code into the script.

#!/bin/bash

ocpath='/var/www/html/owncloud'

htuser='apache'

htgroup='apache'

rootuser='root'printf "Creating possible missing Directoriesn"

mkdir -p $ocpath/data

mkdir -p $ocpath/assets

mkdir -p $ocpath/updaterprintf "chmod Files and Directoriesn"

find ${ocpath}/ -type f -print0 | xargs -0 chmod 0640

find ${ocpath}/ -type d -print0 | xargs -0 chmod 0750printf "chown Directoriesn"

chown -R ${rootuser}:${htgroup} ${ocpath}/

chown -R ${htuser}:${htgroup} ${ocpath}/apps/

chown -R ${htuser}:${htgroup} ${ocpath}/assets/

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chown -R ${htuser}:${htgroup} ${ocpath}/config/

chown -R ${htuser}:${htgroup} ${ocpath}/data/

chown -R ${htuser}:${htgroup} ${ocpath}/themes/

chown -R ${htuser}:${htgroup} ${ocpath}/updater/chmod +x ${ocpath}/occ

printf "chmod/chown .htaccessn" if [ -f ${ocpath}/.htaccess ] then chmod 0644

${ocpath}/.htaccess chown ${rootuser}:${htgroup} ${ocpath}/.htaccess fi if [ -f

${ocpath}/data/.htaccess ] then chmod 0644 ${ocpath}/data/.htaccess chown

${rootuser}:${htgroup} ${ocpath}/data/.htaccess fi

Now save the file and exit the editor.

17.Now make your file executable and run it using the following command.

chmod 750 ~/prm.sh && bash ~/prm.sh

You will see following output.

[root@Testbox ~]# chmod 750 ~/prm.sh && bash ~/prm.sh

Creating possible missing Directories

chmod Files and Directories

chown Directories

chmod/chown .htaccess

If you have SELinux enabled in your system, then you will need to adjust your SELinux module,

otherwise you will get some permissions denied log messages. To check if you have SELinux

enabled or not, run the following command.

sestatus

You will get output similar to this.

SELinux status: enabled

SELinuxfs mount: /sys/fs/selinux

SELinux root directory: /etc/selinux

Loaded policy name: targeted

Current mode: enforcing

Mode from config file: enforcing

Policy MLS status: enabled

Policy deny_unknown status: allowed

Max kernel policy version: 28

On first line you will see the status of SELinux. If enabled run the following commands to adjust

the SELinux permissions.

semanage fcontext -a -t httpd_sys_rw_content_t '/var/www/html/owncloud/data'

restorecon '/var/www/html/owncloud/data'

semanage fcontext -a -t httpd_sys_rw_content_t '/var/www/html/owncloud/config'

restorecon '/var/www/html/owncloud/config'

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semanage fcontext -a -t httpd_sys_rw_content_t '/var/www/html/owncloud/apps'

restorecon '/var/www/html/owncloud/apps'

18. After settings appropriate SELinux configurations for the directories, you will need to run these

commands so that ownCloud can connect other servers, also can can send notifications using

Sendmail.

setsebool -P httpd_can_network_connect on

setsebool -P httpd_can_sendmail on

19.Now set up virtual hosts so that you can access ownCloud using your domain. Create a new file

/etc/httpd/conf.d/owncloud.conf using your favorite text editor.

nano /etc/httpd/conf.d/owncloud.conf

Add the following lines in the file.

ServerName MyCloud

ServerName your-domain.com

DocumentRoot /var/www/html/owncloud/Alias /owncloud

"/var/www/html/owncloud/"Options +FollowSymLinks

AllowOverride AllDav offSetEnv HOME /var/www/html/owncloud

SetEnv HTTP_HOME /var/www/html/owncloud

Make sure you change your-domain.com according to the domain you are going to use. Now save

the file, exit from editor and restart Apache web server.

systemctl restart httpd

20.Now you can access your ownCloud installation through front end using the domain you used

during Virtual Host setup, if you have configured DNS. You can also access ownCloud using your

server IP address.

http://your-domain.com

http://Your-ServerIP

You will see following page.

21.Create a username and password for your administrator account. Next click on Storage and

database link, and click on MySQL/MariaDB under Configure the database. Now provide database

username, password and database name of the database, which you have created earlier. Click on

Finish setup button once done.

22. Once the installation finishes you will see the following screen, you are now logged in to your

ownCloud dashboard.

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23. Securing own Cloud: You can use ownCloud over plain HTTP, but it is strongly

recommended to use SSL/TLS to encrypt all of your server traffic, and to protect user’s logins and

data in transit. You can use any SSL certificates to secure the traffic, for example self-signed

certificate, Certbot or Let's Encrypt SSL or Enterprise SSL. For setting up Certbot or Let's Encrypt

SSL, follow this guide.

Once you have a working SSL certificate, you can redirect all the traffic to HTTPS by editing your

virtual hosts file, /etc/httpd/conf.d/owncloud.conf.

nano /etc/httpd/conf.d/owncloud.conf

Now add the following line under virtual host.

Redirect permanent / https://your-domain.com/

After editing your file should look like as shown below.

ServerName MyCloud

ServerName your-domain.com

DocumentRoot /var/www/html/owncloud/

Redirect permanent / https://your-domain.com/Alias /owncloud

"/var/www/html/owncloud/"Options +FollowSymLinks

AllowOverride AllDav offSetEnv HOME /var/www/html/owncloud

SetEnv HTTP_HOME /var/www/html/owncloud

Administrators are encouraged to set the HTTP Strict Transport Security header, which asks

browsers to not allow any connection to the ownCloud server using HTTP, and it attempts to

prevent site visitors from bypassing invalid certificate warnings. To enable HSTS on your server,

edit your Virtual Hosts file.

nano /etc/httpd/conf.d/owncloud.conf

Now append the following lines into your file.

ServerName your-domain.comHeader always set Strict-Transport-Security "max-

age=15552000; includeSubDomains; preload"

Save the file and exit from editor. Now restart your Apache server using following command.

systemctl restart httpd

Once you restart your server, all your HTTP requests will be sent to HTTPS, also HSTS will be

enabled on your server too.

Note:

New sources for repository :

http://disq.us/url?url=http%3A%2F%2Fdownload.owncloud.org%2Fdownload%2Frepositories

%2F10.0%2Fowncloud%2F%3ACfjhlkm-ljgy5ejUjqVxJuthDwU&cuid=3600920

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http://download.owncloud.org/download/repositories/10.0/owncloud/

OUTPUT:

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Result:

Thus the Own Cloud setup installed successfully.

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Ex:N0 :7

Create Developer Account in A CRM

Date :

AIM:

To create developer account with the following specifications in a CRM.

a. Create objects and required fields to maintain the student database in cloud.

b. Create formula fields to calculate total marks, Grade and the result.

c. Apply validation rules when entering marks more than the certain criteria.

PROCEDURE:

1. Create a new Application “Student Marks”

2. Label and Plural Label name : “Student Details”

3. Click Create App and then Goto My App Button

4. Create the Following Fields for the Object “Student Details”:

5. Type objects in Quick find and select objects .click New Custom objects and Enter the

following details :

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6. Create the Following Fields for the Object “Student Mark Details”:

7. Type Apex class in Quick Find and click the new button :

8. Type the Following Apex class code :

/***

Name : StudentMarkDetails

Created By : Your Name

Created date : Todaysdate Description : This custom controller is used to get the stude

nt mark details.

***/

public class StudentMarkDetails{

public Student_Mark_Detail__c studentMarks{get;set;} //Getter setter variable to get th

e information

public StudentMarkDetails(){

studentMarks = new Student_Mark_Detail__c(); //Instantiate the variable in constr

uctor

}

public pagereference saveRecords(){ //This method will be called on click of sav

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e button.

//This condition make sure the subject values are entered.

if(studentMarks.Subject_1__c != null && studentMarks.Subject_2__c != null){

//Incase of any errors happen while inserting details, this block will catch the error

and display in vf page.

try{

insert studentMarks;

//On successfull insertion of details this will redirect to record details page.

PageReference detailsPage = new PageReference('/' + studentMarks.id);

return detailsPage;

}

catch(Exception e){

ApexPages.addmessage(new ApexPages.message(ApexPages.severity.WARNI

NG,+e.getMessage()));

return null;

}

else{

ApexPages.addmessage(new ApexPages.message(ApexPages.severity.WARNING,'

Please enter subject marks'));

return null;

}

return null;

}

9. Click QuickSave and then save button.

10. Type pages in Quick Find rightclick Visualforce pages and open it in new tab :

11. Enter the Following details in VisualForce pages :

12. Type the Following code in VisualForceMarkup:

<apex:page controller="StudentMarkDetails">

<apex:form >

<apex:pageMessages ></apex:pageMessages>

<apex:pageBlock title="Exam Details">

<apex:pageBlockSection title="Please Enter Exam Marks" columns="1">

<apex:inputfield value="{!studentMarks.Name}"/>

<apex:inputfield value="{!studentMarks.Student__c}"/>

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<apex:inputfield value="{!studentMarks.Subject_1__c}"/>

<apex:inputfield value="{!studentMarks.Subject_1_Staff_Name__c}"/>

<apex:inputfield value="{!studentMarks.Subject_2__c}"/>

<apex:inputfield value="{!studentMarks.Subject_2_Staff_Name__c}"/>

</apex:pageBlockSection>

<apex:pageBlockButtons >

<apex:commandButton action="{!saveRecords}" value="Save"/>

</apex:pageBlockButtons>

</apex:pageBlock>

</apex:form>

</apex:page>

13. Click Quick save .. and then click Save .

14. Type tabs in Quick Find and Click New in Visual Force Tabs and Enter the Following

details as shown in the following snapshot and Click Save :

15. Click Save Button

OUTPUT :

1. Goto Student details tab and click New and Enter the required details :

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2. Click Save button

3. Click the Enter Exam details tab :

4. Enter the Required details :

5. Click Save button

6. In the final output you can see the total marks calculated :

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RESULT:

Thus the creation of developer account in CRM is executed successfully.

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Ex:N0 :8

Create a Warehouse Application in SalesForce.com

Date :

AIM:

To create a Warehouse application in SalesForce.com

PROCEDURE:

This exercise covers the essential steps you need to follow to complete your first SalesForce

application, in the “cloud.”.SalesForce.com best known for its CRM also provides a big and

growing framework for cloud computing andapplications. With Force.com you can build apps

faster, you can create applications without the concern of buyinghardware or installing software.

Steps:

1.Starting at the Beginning

First of all you will need to register for a Salesforce.com developer account. Once you have a

valid username andpassword, login into SalesForce.com.

2. Salesforce Home Page

For this exercise you will create simple Warehouse application with the following objects:

Product

Fields: Name, Description, Price, Stock quantity

Line Item

Fields :Invoice #, Product #, Units sold, Total value

Invoice

Fields: Description, Invoice Value, Invoice Status

3. In the Product object you will specify the Name, Description, Price and Total Inventory (stock)

of the product.Creating an object automatically creates a table with each field as a column in the

table. You can query that objectusing SOQL.

4. In theLineItem in which you will specify the related Invoice Number, number of Units Sold and

the Total amount.

5.Finally, in the Invoice object in which you will specify a Description as well as the invoice Value

and Status.

6.Creating the Objects

To create the objects go to Your user Name, located in the upper-right corner of the Main page.

Select Setup from thelist.

The Personal Setup dialog will appear. Click on Create and click on Objects

Personal Setup Dialog

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In the next dialog click on the New Custom Object button.

Custom Object Dialog

In the next dialog you are going to set the object properties.

Custom Object Dialog

Fill the property fields with the following information,

Label: Product

Plural Label: Products

Gender: Masculine

Object Name: Product (this is the name that will be used via API)

Record Name: Product Name

Data Type: Text

7.Creating Tabs

Check the option to Launch New Custom Tab Wizard after saving this custom object.

Setup Menu

Then click the Save button.

Setup Menu

You will see the next dialog, select the Tab Style you prefer and click Next

Click Next again and then click on Save

Now you will see the object definition detail. You need to create the custom field of that object.

Click on New underCustom Fields & Relationships

You will now create the Description Field so select text in the next dialog. Click on Next

Input the information as shown in the next picture:

Click next again then click on Save

8. Create a new Custom field, Price, and fill it in with the following information,

Data type: Number

Label: Price

Length: 18

Field Name: Price

9.Create a new Custom field, Total Inventory.

Data type: Number

Label: Total Inventory

ength: 18

Field Name: Total_Inventory

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That is all you have to do on that object. Now you have to create the following objects following

the same procedure.

10.Create the Line Item & Invoice Objects

Now you have to create the Line Item object.

Label: Line Item

Plural Label : Line Items

Gender: Masculine

Object Name: Line_Item (this is the name that will be used via API)

Record Name: Line Item Name

Data Type: Text

11.Create the Invoice object

Label: Invoice

Plural Label :Invoices

Gender: Masculine

Object Name: Invoice (this is the name that will be used via API)

Record Name: Invoice Name

Data Type: Auto Number

Display Format: INV-{0} (this means that every invoice instance will have the INV

prefix followed by an auto-increment number)

12.Creating Custom Fields

Now you will create some custom fields for the LineItem object and the Invoice object.

Go to objects and click on the Label Line Item

13.Create a new Custom field, Invoice.

Data type: Master-Detail

Related To: Invoice

Label: Invoice

Field Name: Invoice

Child Relationship Name: Line_Items

14.Create a new Custom field, Product.

Data type: Master-Detail

Related To: Product

Label: Product

Field Name: Product

Child Relationship Name: Line_Items

15. Create a new Custom field, Units Sold.

Data type: Number

Label: Units Sold

Length: 18

Field Name: Units_Sold

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16.Create a new Custom field, Unit Price.

Data type: Number

Label: Unit price

Length: 18

Field Name: Unit_Price

17.Create a new Custom field, Total Value.

Data type: Formula

Label: Total Value

Field Name: Total_Value

Formula Return Type: Number

Total Value (number) = Units_Sold__c * Unit_Price__c

18.Now you will add the object fields for Invoice

Go to objects and click on the Label Invoice

Create a new Custom field, Description.

Data type: Text

Label: Description

Length: 255

Field Name: Description

19.Create a new Custom field, Invoice Status.

Data type: Picklist

Label: Invoice Status

In the text area type:

NewOpenSubmitted

Field Name: Invoice_Status

20.Create a new Custom field, Total Invoice

Data type: Roll-up Summary

Summarized Object: Line Items

Select Roll-Up Type: SUM

Field to Aggregate: Total Value

Note: this roll-up summary will fetch all Line Items and SUM the total Value of the invoice.

RESULT:

Thus the first SalesForce.com application created successfully.

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Ex:N0 :9

Study and Install Apache Hadoop Framework

Date :

AIM:

To study and install Apache Hadoop framework.

HADOOP

Hadoop is an open source framework for large-scale data processing. Hadoop enables companies

to retain and make use of all the data they collect, performing complex analysis quickly and storing

results securely over a number of distributed servers.

Traditional large-scale data processing was performed on a number of large computers. When

demand increased, the enterprise would 'scale up', replacing existing servers with larger servers or

storage arrays. The advantage of this approach was that the increase in the size of the servers had

no affect on the overall system architecture. The disadvantage was that scaling up was

expensive.Moreover, there's a limit on how much you can grow a system set up to process terabytes

of information, and still keep the same system architecture. Sooner or later, when the amount of

data collected becomes hundreds of terabytes or even petabytes, scaling up comes to a hard stop.

Scale-up strategies remain a good option for businesses that require intensive processing of data

with strong internal cross-references and a need for transactional integrity. However, for growing

enterprises that want to mine an ever-increasing flood of customer data, there is a better approach.

Using a Hadoop framework, large-scale data processing can respond to increased demand by

"scaling out": if the data set doubles, you distribute processing over two servers; if the data set

quadruples, you distribute processing over four servers. This eliminates the strategy of growing

computing capacity by throwing more expensive hardware at the problem.

When individual hosts each possess a subset of the overall data set, the idea is for each host to

work on their own portion of the final result independent of the others. In real life, it is likely that

the hosts will need to communicate between each other, or that some pieces of data will be

required by multiple hosts. This creates the potential for bottlenecks and increased risk of failure.

Therefore, designing a system where data processing is spread out over a number of servers means

designing for self-healing distributed storage, fault-tolerant distributed computing, and abstraction

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for parallel processing. Since Hadoop is not actually a single product but a collection of several 
components, this design is generally accomplished through deployment of various components. 
In  addition  to batch,  interactive  and  real-time  data  access,  the  Hadoop  "ecosystem"  includes 
components that support critical enterprise requirements such as Security, Operations and Data 
Governance. To learn more about how critical enterprise requirements are implemented within the 
Hadoop ecosystem. 
The project includes these modules: 
•  Hadoop Common: The common utilities that support the other Hadoop modules. 
•  Hadoop Distributed File System (HDFS™): A distributed file system that provides 
high-throughput access to application data. 
•  Hadoop YARN: A framework for job scheduling and cluster resource management. 
•  Hadoop MapReduce: A YARN-based system for parallel processing of large data sets. 
•  Other Hadoop-related projects at Apache include: 
•  Ambari™: A web-based tool for provisioning, managing, and monitoring Apache 
Hadoop clusters which includes support for Hadoop HDFS, Hadoop MapReduce, Hive, 
HCatalog, HBase, ZooKeeper, Oozie, Pig and Sqoop. Ambari also provides a dashboard 
for viewing cluster health such as heatmaps and ability to view MapReduce, Pig and Hive 
applications visually alongwith features to diagnose their performance characteristics in a 
user-friendly manner. 
•  Avro™: A data serialization system. 
•  Cassandra™: A scalable multi-master database with no single points of failure. 
•  Chukwa™: A data collection system for managing large distributed systems. 
•  HBase™: A scalable, distributed database that supports structured data storage for large 
tables. 
•  Hive™: A data warehouse infrastructure that provides data summarization and ad hoc 
querying. 
•  Mahout™: A Scalable machine learning and data mining library. 
•  Pig™: A high-level data-flow language and execution framework for parallel 
computation. 
•  Spark™: A fast and general compute engine for Hadoop data. Spark provides a simple 
and expressive programming model that supports a wide range of applications, including 
ETL, machine learning, stream processing, and graph computation. 
•  Tez™: A generalized data-flow programming framework, built on Hadoop YARN, 
which provides a powerful and flexible engine to execute an arbitrary DAG of tasks to 

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process data for both batch and interactive use-cases. Tez is being adopted by Hive™,

Pig™ and other frameworks in the Hadoop ecosystem, and also by other commercial

software (e.g. ETL tools), to replace Hadoop™ MapReduce as the underlying execution

engine.

• ZooKeeper™: A high-performance coordination service for distributed applications.

INSTALLATION

Prerequisites

To use the Hortonworks Sandbox on Windows system must have the following

resources available:

1: Hosts

• A 64-bit machine with a chip that supports virtualization. Not all 64-bit chips have

this capability. Check your system documentation or your IT department. For more

information, see this Microsoft article: http://windows.microsoft.com/en-

us/windows7/32-bit-and-64-bit-windows-frequently-asked-questions

• A BIOS that has been set to enable virtualization support. This is usually already

set, but in some cases must be set manually.Check your system documentation or

your IT department. For more information, see this Microsoft article:

http://www.microsoft.com/windows/virtual-pc/support/configurebios.aspx

2: Host Operating Systems:

• Windows 7, 8

3: Supported Browsers:

• Internet Explorer 9

• Firefox – latest stable release

• Google Chrome – latest stable release

4: At least 4 GB of RAM

Virtual Machine Environments:

• Oracle VirtualBox, version 4.2 or later

Installing on Windows using Oracle VirtualBox

1. Open the Oracle VM VirtualBox Manager Double click:

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2. The Oracle VM Virtualization Manager window opens.

3. Change the Auto-Capture preference. File->Preferences and select

Input in the left navigation bar. Uncheck Auto-Capture Keyboard.

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4. Import the Sandbox appliance file: File->Import Appliance

6. The Import Virtual Appliance screen opens

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7. Click the Open appliance button; the file browser opens. Make sure to select the correct

appliance. In this case, the top file is the VirtualBox formatted file. Click the Open button

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8. You return to the Import Virtual Appliance screen. Click Next

9. The Appliance settings screen appears. The default settings work. If you have more then 4Gb

of physical RAM installed, you may wish to allocate more RAM to the VM – 4GB of RAM in the

Virtual Appliance will improve the performance. Click Import.

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10. The appliance is imported.

11. Turn on the Sandbox. Select the appliance and click the green Start arrow. A console

window opens and displays an information screen. ClickOK to clear the info screen.

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Because what is being displayed is a conceptually separate machine, control of the mouse and the

keyboard must be passed back and forth between the host and the VM. This is particularly useful

when the VM has a GUI. In the case of the Sandbox appliance, however, you never need to use

your keyboard or your mouse inside the Sandbox console window. If you accidently let the console

“capture” your mouse or keyboard, you can release them back to the host machine by pressing the

Ctrl key. Click OK.

12. Wait while the VM boots up. When the process is complete, the console

displays the login instructions for the Sandbox.

13. Use a browser on your host machine to open the URL displayed on the

console.

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Result:

Thus the Apache Hadoop Installation was studies successfully.

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Ex:N0 :10

MAP REDUCE Application

Date :

AIM:

To Configure a single node cluster using Hadoop framework and write a map reduce

application

PROCEDURE:

Step 1: Installing Java

Java is the primary requirement for running hadoop on any system, So make sure you have Java

installed on your system using following command

Step 2: Creating Hadoop User

We recommend to create a normal (nor root) account for hadoop working. So create a system

account using following command.

After creating account, it also required to set up key based ssh to its own account. To do this use

execute following commands.

Lets verify key based login. Below command should not ask for password but first time it will

prompt for adding RSA to the list of known hosts.

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Step 3. Downloading Hadoop 2.6.0

Now download hadoop 2.6.0 source archive file using below command. You can also select

alternate download mirror for increasing download speed.

Step 4. Configure Hadoop Pseudo-Distributed Mode

4.1. Setup Environment Variables

First we need to set environment variable uses by hadoop. Edit ~/.bashrc file and append

following values at end of file.

Now apply the changes in current running environment

4.2. Edit Configuration Files

Hadoop has many of configuration files, which need to configure as per requirements of your

hadoop infrastructure. Lets start with the configuration with basic hadoop single node cluster

setup. first navigate to below location

Edit core-site.xml

<name>fs.default.name</name>

<value>hdfs://localhost:9000</value>

</property>

</configuration>

Edit hdfs-site.xml

<name>dfs.replication</name>

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</property>

<value>file:///home/hadoop/hadoopdata/hdfs/namenode</value>

</property>

<value>file:///home/hadoop/hadoopdata/hdfs/datanode</value>

</property>

</configuration>

Edit mapred-site.xml

<name>mapreduce.framework.name</name>

</property>

</configuration>

Edit yarn-site.xml

<name>yarn.nodemanager.aux-services</name>

<value>mapreduce_shuffle</value>

</property>

</configuration>

4.3. Format Namenode

Now format the namenode using following command, make sure that Storage directory is

$ hdfs namenode -format

Step 5. Start Hadoop Cluster

Lets start your hadoop cluster using the scripts provides by hadoop. Just navigate to your hadoop

sbin directory and execute scripts one by one.

$ cd $HADOOP_HOME/sbin/

Now run start-dfs.sh script.

$ start-dfs.sh

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Sample output:

15/02/04 10:00:34 WARN util.NativeCodeLoader: Unable to load native-hadoop library for your

platform... using builtin-java classes where applicable

Starting namenodes on [localhost]

localhost: starting namenode, logging to /home/hadoop/hadoop/logs/hadoop-hadoop-namenode-

svr1.tecadmin.net.out

localhost: starting datanode, logging to /home/hadoop/hadoop/logs/hadoop-hadoop-datanode-

svr1.tecadmin.net.out

Starting secondary namenodes [0.0.0.0]

The authenticity of host '0.0.0.0 (0.0.0.0)' can't be established.

RSA key fingerprint is 3c:c4:f6:f1:72:d9:84:f9:71:73:4a:0d:55:2c:f9:43.

Are you sure you want to continue connecting (yes/no)? yes

0.0.0.0: Warning: Permanently added '0.0.0.0' (RSA) to the list of known hosts.

0.0.0.0: starting secondarynamenode, logging to /home/hadoop/hadoop/logs/hadoop-hadoop-

secondarynamenode-svr1.tecadmin.net.out

15/02/04 10:01:15 WARN util.NativeCodeLoader: Unable to load native-hadoop library for your

platform... using builtin-java classes where applicable

Now run start-yarn.sh script.

$ start-yarn.sh

Sample output:

starting yarn daemons

starting resourcemanager, logging to /home/hadoop/hadoop/logs/yarn-hadoop-resourcemanager-

svr1.tecadmin.net.out

localhost: starting nodemanager, logging to /home/hadoop/hadoop/logs/yarn-hadoop-

nodemanager-svr1.tecadmin.net.out

Step 6. Access Hadoop Services in Browser

Hadoop NameNode started on port 50070 default. Access your server on port 50070 in your

favorite web browser.

http://svr1.tecadmin.net:50070/

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MAP-REDUCE ALGORITHM

1. The input data can be divided into n number of chunks depending upon the amount of data and

processing capacity of individual unit.

2. Next, it is passed to the mapper functions. Please note that all the chunks are processed

simultaneously at the same time, which embraces the parallel processing of data.

3. After that, shuffling happens which leads to aggregation of similar patterns.

4. Finally, reducers combine them all to get a consolidated output as per the logic.

5. This algorithm embraces scalability as depending on the size of the input data, we can keep

increasing the number of the parallel processing units.

Mapper Class

import java.io.IOException;

import org.apache.hadoop.io.IntWritable;

import org.apache.hadoop.io.Text;

import org.apache.hadoop.mapreduce.Mapper;

public class VoteCountMapper extends Mapper<Object, Text, Text, IntWritable>

{

private final static IntWritable one = new IntWritable(1);

@Override

public void map(Object key, Text value, Context output) throws IOException,

InterruptedException {

//If more than one word is present, split using white space.

String[] words = value.toString().split(" ");

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//Only the first word is the candidate name

output.write(new Text(words[0]), one);

}

Reducer Class

import java.io.IOException;

import java.util.Iterator;

import org.apache.hadoop.io.IntWritable;

import org.apache.hadoop.io.Text;

import org.apache.hadoop.mapreduce.Reducer;

public class VoteCountReducer extends Reducer<Text, IntWritable, Text, IntWritable> {

@Override

public void reduce(Text key, Iterable<IntWritable> values, Context output)

throws IOException, InterruptedException {

int voteCount = 0;

for(IntWritable value: values){

voteCount+= value.get();

}

output.write(key, new IntWritable(voteCount));

}

Main class

import org.apache.hadoop.conf.Configuration;

import org.apache.hadoop.conf.Configured;

import org.apache.hadoop.fs.Path;

import org.apache.hadoop.io.IntWritable;

import org.apache.hadoop.io.Text;

import org.apache.hadoop.mapreduce.Job;

import org.apache.hadoop.mapreduce.lib.input.FileInputFormat;

import org.apache.hadoop.mapreduce.lib.input.TextInputFormat;

import org.apache.hadoop.mapreduce.lib.output.FileOutputFormat;

import org.apache.hadoop.mapreduce.lib.output.TextOutputFormat;

import org.apache.hadoop.util.Tool;

import org.apache.hadoop.util.ToolRunner;

public class VoteCountApplication extends Configured implements Tool{

public static void main(String[] args) throws Exception {

int res = ToolRunner.run(new Configuration(), new VoteCountApplication(), args);

System.exit(res);

}

@Override

public int run(String[] args) throws Exception {

if (args.length != 2) {

System.out.println("usage: [input] [output]");

System.exit(-1);

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}

Job job = Job.getInstance(new Configuration());

job.setOutputKeyClass(Text.class);

job.setOutputValueClass(IntWritable.class);

job.setMapperClass(VoteCountMapper.class);

job.setReducerClass(VoteCountReducer.class);

job.setInputFormatClass(TextInputFormat.class);

job.setOutputFormatClass(TextOutputFormat.class);

FileInputFormat.setInputPaths(job, new Path(args[0]));

FileOutputFormat.setOutputPath(job, new Path(args[1]));

job.setJarByClass(VoteCountApplication.class);

job.submit();

return 0;

}

OUTPUT:

You can monitor the progress of the triggered job using Job Browser. If you wish, you could take

a peek into the generated log files.

View Word Count Results

The final, consolidated vote count for each candidate can be found in a file present in the

directory/user/hue/VoteCountOutput. View this file using File Browser to know the number of

votes each candidate got.

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RESULT:

Thus the Map Reducer application executed successfully.